Keng-hao Chang

752 total citations
23 papers, 316 citations indexed

About

Keng-hao Chang is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Keng-hao Chang has authored 23 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Experimental and Cognitive Psychology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Keng-hao Chang's work include Topic Modeling (6 papers), Emotion and Mood Recognition (4 papers) and Web Data Mining and Analysis (3 papers). Keng-hao Chang is often cited by papers focused on Topic Modeling (6 papers), Emotion and Mood Recognition (4 papers) and Web Data Mining and Analysis (3 papers). Keng-hao Chang collaborates with scholars based in United States, Taiwan and United Kingdom. Keng-hao Chang's co-authors include Ruofei Zhang, Shuangfei Zhai, Zhongfei Mark Zhang, John Canny, D. Grant Fisher, Katherine A. Kaplan, Allison G. Harvey, Ronald E. Dahl, Lisa S. Talbot and Eleanor L. McGlinchey and has published in prestigious journals such as SLEEP, Multimedia Tools and Applications and Personal and Ubiquitous Computing.

In The Last Decade

Keng-hao Chang

20 papers receiving 294 citations

Peers

Keng-hao Chang
Hillol Sarker United States
Keng-hao Chang
Citations per year, relative to Keng-hao Chang Keng-hao Chang (= 1×) peers Hillol Sarker

Countries citing papers authored by Keng-hao Chang

Since Specialization
Citations

This map shows the geographic impact of Keng-hao Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keng-hao Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keng-hao Chang more than expected).

Fields of papers citing papers by Keng-hao Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keng-hao Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keng-hao Chang. The network helps show where Keng-hao Chang may publish in the future.

Co-authorship network of co-authors of Keng-hao Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Keng-hao Chang. A scholar is included among the top collaborators of Keng-hao Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keng-hao Chang. Keng-hao Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chang, Keng-hao, et al.. (2023). Generalizable person re-identification with part-based multi-scale network. Multimedia Tools and Applications. 82(25). 38639–38666. 7 indexed citations
2.
Mittal, Anshul, Kunal Dahiya, Jitendra Ajmera, et al.. (2022). Multi-modal Extreme Classification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8 indexed citations
3.
Pang, Linsey, Wei Liu, Keng-hao Chang, et al.. (2022). Deep Search Relevance Ranking in Practice. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4810–4811. 1 indexed citations
4.
Hu, Changbo, Qun Li, Zhen Zhang, Keng-hao Chang, & Ruofei Zhang. (2020). A Multimodal Fusion Framework for Brand Recognition from Product Image and Context. 1–4. 7 indexed citations
5.
Hu, Changbo, et al.. (2020). Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique. 2016. 400–409. 2 indexed citations
6.
Liu, Lichun, Ya‐Hui Tsai, Yu‐Ching Chou, et al.. (2020). Concordance analysis of intrapartum cardiotocography between physicians and artificial intelligence-based technique using modified one-dimensional fully convolutional networks. Journal of the Chinese Medical Association. 84(2). 158–164. 10 indexed citations
7.
Chang, Keng-hao, et al.. (2019). Selection Strategy for VM Migration Method. Proceedings of International Conference on Artificial Life and Robotics. 24. 41–44.
8.
Wen, Kun‐Li, Keng-hao Chang, & Yi‐Cheng Shen. (2019). The Evaluation of Automobile in Germany via Globalization Grey Relational Grade. 7(2). 1–6.
9.
Hughes, J. Weston, Keng-hao Chang, & Ruofei Zhang. (2019). Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning. 2269–2277. 21 indexed citations
10.
Zhai, Shuangfei, Keng-hao Chang, Ruofei Zhang, & Zhongfei Mark Zhang. (2016). DeepIntent. 1295–1304. 65 indexed citations
11.
Zhai, Shuangfei, Keng-hao Chang, Ruofei Zhang, & Zhongfei Zhang. (2016). Attention Based Recurrent Neural Networks for Online Advertising. 141–142. 4 indexed citations
12.
Chang, Keng-hao, et al.. (2015). A universal topic framework (UniZ) and its application in online search. 1078–1085. 1 indexed citations
13.
Canny, John & Keng-hao Chang. (2012). Speech analysis methodologies towards unobtrusive mental health monitoring. 1 indexed citations
14.
Chang, Keng-hao, D. Grant Fisher, John Canny, & Björn Hartmann. (2011). How's my mood and stress?: an efficient speech analysis library for unobtrusive monitoring on mobile phones. 71–77. 34 indexed citations
15.
McGlinchey, Eleanor L., Lisa S. Talbot, Keng-hao Chang, et al.. (2011). The Effect of Sleep Deprivation on Vocal Expression of Emotion in Adolescents and Adults. SLEEP. 34(9). 1233–1241. 81 indexed citations
16.
Chang, Keng-hao, Howard Lei, & John Canny. (2011). Improved classification of speaking styles for mental health monitoring using phoneme dynamics. 85–88. 1 indexed citations
17.
Chang, Keng-hao, et al.. (2011). AnalyzeThis. 1951–1956. 5 indexed citations
19.
Paek, Tim, et al.. (2010). Multimodal Feedback and Guidance Signals for Mobile Touchscreen Keyboards. 3 indexed citations
20.
Zimmerman, Thomas G. & Keng-hao Chang. (2008). Simplifying home health monitoring by incorporating a cell phone in a weight scale. 289. 1–4. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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